Documenting Disclosure: Limited Reporting of Generative AI Usage in Radiology Research Manuscripts.

Journal: Academic radiology
Published Date: Jul 17, 2025

Abstract

RATIONALE AND OBJECTIVES: Large language models (LLMs) show promise in radiology through various clinical applications as well as in assisting with research manuscript development. Recent studies show 52.6% of medical researchers use LLMs in manuscript development, with non-medical researchers showing similar rates. Given concerns about hallucinations, bias, etc., many publishers now require disclosure of LLM use. While most medical imaging journals have LLM policies as of 2025, the actual disclosure rates for LLM usage remain unknown. Our study examines trends in LLM disclosure by analyzing 1998 radiology publications for LLM disclosures.

Authors

  • D Jonah Barrett
    School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama (D.J.B., R.H., J.D.P.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama (D.J.B., R.H., J.D.P.). Electronic address: djbarr55@uab.edu.
  • Richard Heng
    School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama (D.J.B., R.H., J.D.P.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama (D.J.B., R.H., J.D.P.).
  • Jordan D Perchik
    Department of Diagnostic Radiology, University of Alabama at Birmingham, Birmingham, AL. Electronic address: jperchik@uabmc.edu.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals